At a Glance
- Tasks: Develop options pricing engines and create automated trading strategies.
- Company: Join a forward-thinking firm focused on innovative trading solutions.
- Benefits: Enjoy remote work, health insurance, and a flexible schedule.
- Other info: Great opportunities for professional growth in a dynamic environment.
- Why this job: Make an impact in the trading world with your programming skills.
- Qualifications: Strong Python programming skills and knowledge of options mathematics.
The predicted salary is between 60000 - 80000 £ per year.
jobr.pro is seeking a Mid-Senior Quant Researcher with expertise in options and automated trading strategies. The role involves owning the development of options pricing engines, formulating statistical arbitrage strategies, and working closely with trading teams.
Candidates should have strong programming skills in Python and a deep understanding of options mathematics. The position offers remote work options, professional growth opportunities, and benefits including health insurance and a flexible schedule.
Remote Options Quant Researcher: Automated Trading & IV employer: jobr.pro
At jobr.pro, we pride ourselves on being an excellent employer by fostering a flexible and culturally diverse work environment in Exeter. Our commitment to personal development ensures that employees have ample opportunities for growth while enjoying attractive benefits, making it a rewarding place to advance your career in the transport infrastructure sector.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Options Quant Researcher: Automated Trading & IV
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Remote Options Quant Researcher: Automated Trading & IV
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at jobr.pro, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at jobr.pro. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at jobr.pro
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
